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Deciding on the robotic process automation operating model: A checklist for RPA managers

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  • Asatiani, Aleksandre
  • Copeland, Olli
  • Penttinen, Esko

Abstract

Robotic process automation (RPA) has emerged as a technology promising various quick wins: fast deployment, immediate efficiency gains, and low investment requirements. While these promises have resulted in large-scale deployment of RPA in diverse industries, the choice of operating model remains tricky. This article identifies three key decisions for RPA managers: (1) the who decision, pertaining to selection of internal versus external resources for RPA development; (2) the how decision, on whether the organization will pursue RPA deployment on-premises or through the cloud; and (3) the what decision, on whether to employ proprietary RPA tools or an open-source solution. To shed light on how these decisions are made and to pinpoint their interdependencies, seven organizations’ choices connected with these three decisions are presented. The study’s main contribution is a decision checklist that can facilitate RPA managers’ navigation of the decision-making process, their gathering of relevant information, and their choice of the model best matching the organization’s needs.

Suggested Citation

  • Asatiani, Aleksandre & Copeland, Olli & Penttinen, Esko, 2023. "Deciding on the robotic process automation operating model: A checklist for RPA managers," Business Horizons, Elsevier, vol. 66(1), pages 109-121.
    • Handle: RePEc:eee:bushor:v:66:y:2023:i:1:p:109-121
    DOI: 10.1016/j.bushor.2022.03.004
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    References listed on IDEAS

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    Cited by:

    1. Rosa Virginia Encinas Quille & Felipe Valencia de Almeida & Joshua Borycz & Pedro Luiz Pizzigatti Corrêa & Lucia Vilela Leite Filgueiras & Jeaneth Machicao & Gustavo Matheus de Almeida & Edson Toshimi, 2023. "Performance Analysis Method for Robotic Process Automation," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    2. Leonel Patrício & Lino Costa & Leonilde Varela & Paulo Ávila, 2023. "Sustainable Implementation of Robotic Process Automation Based on a Multi-Objective Mathematical Model," Sustainability, MDPI, vol. 15(20), pages 1-29, October.

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